Overview
Title: IoT: How Data Science-Driven Software is Eating the Connected World
Date: Tuesday, July 21, 2015
Time: 09:00 AM Pacific Daylight Time
Duration: 1 hour
Summary
Please join us on July 21, 2015 at 9am PDT for our latest Data Science Central Webinar Series: IoT: How Data Science-Driven Software is Eating the Connected World sponsored by Pivotal
The Internet of Things (IoT) will forever change the way businesses interact with consumers and each other. To derive true value from these devices, and ultimately drive the next fundamental shift in how we live and operate, requires the ability to pool this data and build models that drive real and significant actions.
In this DSC webinar, one of Pivotal's principal data scientists will present a series of use cases illustrating how such devices and the data from these devices drives real impact across industries. From smart sensors to connected hospitals, each example will highlight the fundamental concepts to success.
In this DSC webinar, one of Pivotal's principal data scientists will present a series of use cases illustrating how such devices and the data from these devices drives real impact across industries. From smart sensors to connected hospitals, each example will highlight the fundamental concepts to success.
You will learn about:
· Starting with the basics: How data science drives action and outcomes
· Avoiding the obstacles: How to avoid the pitfalls that prevent models from driving real action
· Building your toolbox: What tools are available
· Starting with the basics: How data science drives action and outcomes
· Avoiding the obstacles: How to avoid the pitfalls that prevent models from driving real action
· Building your toolbox: What tools are available
The DSC webinar will provide a unique look at new developments in the rapidly-changing world of IoT and data science.
Panelist: Sarah Aerni, Senior Data Scientist -- Pivotal
Hosted by: Bill Vorhies, Senior Contributing Editor -- Data Science Central
Hosted by: Bill Vorhies, Senior Contributing Editor -- Data Science Central
Register here
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